Research status and trends of deep learning in colorectal cancer (2011-2023): Bibliometric analysis and visualization.

Journal: World journal of gastrointestinal oncology
Published Date: May 15, 2025

Abstract

BACKGROUND: Colorectal cancer (CRC) is the third-most prevalent cancer and the cancer with the second-highest mortality rate worldwide, representing a high public health burden. Deep learning (DL) offers advantages in the diagnosis, identification, localization, classification and prognosis of CRC patients. However, few bibliometric analyses of research hotspots and trends in the field have been performed.

Authors

  • Lu-Ying Qi
    Department of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou 313000, Zhejiang Province, China.
  • Bai-Wang Li
    Center of Gastrointestinal Endoscopy, The Fourth People's Hospital of Jinan, Jinan 250031, Shandong Province, China.
  • Jie-Qiong Chen
    Department of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou 313000, Zhejiang Province, China.
  • Hu-Po Bian
    Department of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou 313000, Zhejiang Province, China.
  • Jing-Nan Xue
    Department of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou 313000, Zhejiang Province, China.
  • Hong-Xing Zhao
    Department of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou Key Laboratory of Precise Diagnosis and Treatment of Urinary Tumors, Huzhou 313000, Zhejiang Province, China. 50073@zjhu.edu.cn.

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